This video was recorded at 5th International AAAI Conference on Weblogs and Social Media (ICWSM), Barcelona 2011. The...
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This video was recorded at 5th International AAAI Conference on Weblogs and Social Media (ICWSM), Barcelona 2011. The International Conference on Weblogs and Social Media is a unique forum that brings together researchers from the disciplines in computer science, linguistics, communication, and the social sciences. The broad goal of ICWSM is to increase understanding of social media in all its incarnations. Submissions describing research that blends social science and technology are especially encouraged. Though this conference is relatively new, it has become one of the premier venues for social scientists and technologists to gather and discuss cutting-edge research in Social Media. This is largely due to a typical acceptance rate of 20% for full-length research papers and support from Association for the Advancement of Artificial Intelligence (AAAI). Detailed program can be found at the ICWSM 2011 website.

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This course is basically an introduction to artificial intelligence and expert systems. The general theme of the course is...
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This course is basically an introduction to artificial intelligence and expert systems. The general theme of the course is methods of search. The expert system shell CLIPS is introduced not only to give an example of an expert system shell, but also as a programming medium (for the exercises) for illustrating the search methods introduced in traditional AI textbooks (i.e. A, A*, Decision Trees, AND/OR graphs). Depending on time, the numeric search techniques will also be introduced, Gradient, Monte-Carlo and Genetic Algorithms.This is all the course materials and slides for a lecture on Knowledge Based Engineering. This course is basically an introduction to artificial intelligence and expert systems. The general theme of the course is methods of search. The expert system shell CLIPS is introduced not only to give an example of an expert system shell, but also as a programming medium (for the exercises) for illustrating the search methods introduced in traditional AI textbooks (i.e. A, A*, Decision Trees, AND/OR graphs). Depending on time, the numeric search techniques will also be introduced, Gradient, Monte-Carlo and Genetic Algorithms. The software system PRODIGY is introduced as a medium for looking at planning problems. In addition, the software system OTTER will be used to illustrate resolution. As one sees the course gives emphasis on the practical exercises within the concepts introduced. The software systems are used to enable the calculation of non-trivial examples and to see, by example, the complexity the problems can take.

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This video was recorded at Workshop on Analytics on Video-based Learning (WAVe), Leuven 2013. The Workshop aims to be an...
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This video was recorded at Workshop on Analytics on Video-based Learning (WAVe), Leuven 2013. The Workshop aims to be an interactive, engaging experience that will motivate participants to get involved and start fruitful discussions on the topic of Video-Based Learning and the potential benefits of Analytics. For that, it will combine several activities. On the one hand, a highly recognized keynote speakers will open the workshop. On the other hand, the Workshop would like to give to participants the opportunity to be engaged into creative and motivating discussions about the key issues related to analytics on video-based learning. With the widespread adoption of video-based learning systems such as Khan Academy and edX, new research on the area of Learning Analytics and personalized learning has emerged. Even new for-profit companies, such as Coursera and Udacity, have started offering forms of instruction that are primarily video-based. To date, universities across the globe (Stanford, Oxford, MIT and some 800 other schools) offer video lectures on topics from Algebra to Zoology. Many instructors in higher education are implementing video lectures in a variety of ways, such as broadcasting lectures, augmenting recordings of in-class lectures with face-to-face meetings for review purposes, and delivering lecture recordings before class to "flip the classroom" and provide hands-on activities during class time. Other uses include showing videos that demonstrate course topics and providing supplementary video learning materials for self-study. As such, video has emerged as one of the premier media for learning. To explore the future of video-based technologies for teaching and learning, we aim to build a research community around this topical area, to brainstorm about what the next generation of video-based learning tools might look like and what kind of data they can collect that will help us to better understand the value these technologies. To find out more visit the WAVe 2013 website.

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This video was recorded at PASCAL Bootcamp in Machine Learning, Vilanova 2007. This course covers feature selection...
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This video was recorded at PASCAL Bootcamp in Machine Learning, Vilanova 2007. This course covers feature selection fundamentals and applications. The students will first be reminded of the basics of machine learning algorithms and the problem of overfitting avoidance. In the wrapper setting, feature selection will be introduced as a special case of the model selection problem. Methods to derive principled feature selection algorithms will be reviewed as well as heuristic method, which work well in practice. One class will be devoted to feature construction techniques. Finally, a lecture will be devoted to the connections between feature section and causal discovery. The class will be accompanied by several lab sessions. The course will be attractive to students who like playing with data and want to learn practical data analysis techniques. The instructor has ten years of experience with consulting for startup companies in the US in pattern recognition and machine learning. Datasets from a variety of application domains will be made available: handwriting recognition, medical diagnosis, drug discovery, text classification, ecology, marketing.

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Dr Sanjoy Sanyal, Surgeon, Medical Informatician, Neuroscience Professor and Course Director, takes existing published data from Intel(R) and graphically proves the validity of Moore's postulate and its derivatives and variants.An addendum has been added in the last slide mentioning 3 recent developments, as of 2014. Educational Value: It is an exercise in 'Geekism' :)

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This video was recorded at Machine Learning Summer School (MLSS), La Palma 2012. The course will cover linear, convex, and...
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This video was recorded at Machine Learning Summer School (MLSS), La Palma 2012. The course will cover linear, convex, and parametric optimization. In each of these areas, the role of duality will be emphasized as it informs the design of efficient algorithms and provides a rigorous basis for determining optimality. Various versions of the Simplex Method for linear programming will be presented. The dangers of degeneracy and ways to avoid it will be explained. Also, both the worst-case and average-case efficiency of the algorithms will be described. Finally, an efficient algorithm for parametrically solving multi-objective optimization problems will be presented, analyzed, and proposed as a new algorithm for sparse regression.

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This video was recorded at 2nd International Conference on Weblogs and Social Media (ICWSM), Seattle 2008. The rapid...
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This video was recorded at 2nd International Conference on Weblogs and Social Media (ICWSM), Seattle 2008. The rapid creation and consumption of social media content continues to drive the evolution of the Internet and the Web. Social media content now accounts for the majority of content published daily on the web. As the space evolves, researcher and industrial practitioners find themselves at a key point for collaborating on research, implementation and deployment of a wide range of analyses and applications. The International Conference on Weblogs and Social Media invites researchers in the broad field of social media analysis to submit papers for its second meeting. Following in the tradition of earlier workshops and the first meeting in Boulder, USA in 2007, we anticipate an exciting, high quality event which will bring together academic and industrial practitioners to present and to discuss new research, applications, thoughts and ideas that are shaping the future of social media analysis. ICWSM is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI). Detailed program can be found at the ICWSM 2008 website.

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This video was recorded at 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin 2012. In this...
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This video was recorded at 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin 2012. In this paper, we explore the relationship between Facebook users' privacy concerns, relationship maintenance strategies, and social capital outcomes. Previous research has found a positive relationship between various measures of Facebook use and perceptions of social capital, i.e., one's access to social and information-based resources. Other research has found that social network site users with high privacy concerns modify their disclosures on the site. However, no research to date has empirically tested how privacy concerns and disclosure strategies interact to influence social capital outcomes. To address this gap in the literature, we explored these questions with survey data (N=230). Findings indicate that privacy concerns and behaviors predict disclosures on Facebook, but not perceptions of social capital. In addition, when looking at predictors of social capital, we identify interaction effects between users' network composition and their use of privacy features.

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